BabelNet goes to the (Multilingual) Semantic Web

BabelNet is a very large, wide-coverage multilingual ontology. This resource is created by linking the largest multilingual Web encyclopedia – i.e., Wikipedia – to the most popular computational lexicon – i.e., WordNet. The integration is performed via an automatic mapping and by filling in lexical gaps in resource-poor languages with the aid of Machine Translation. The result is an “encyclopedic dictionary” that provides babel synsets, i.e., concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. BabelNet is available online at http://www.babelnet.org. In this paper we present a first attempt at encoding BabelNet for the multilingual Semantic Web.